<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.9.1"/>
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<title>Doxygen: pcl::FastBilateralFilterOMP&lt; PointT &gt; 模板类 参考</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<link href="navtree.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="resize.js"></script>
<script type="text/javascript" src="navtreedata.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/searchdata.js"></script>
<script type="text/javascript" src="search/search.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
 <tbody>
 <tr style="height: 56px;">
  <td id="projectalign" style="padding-left: 0.5em;">
   <div id="projectname">Doxygen
   </div>
  </td>
 </tr>
 </tbody>
</table>
</div>
<!-- end header part -->
<!-- 制作者 Doxygen 1.9.1 -->
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
var searchBox = new SearchBox("searchBox", "search",false,'搜索','.html');
/* @license-end */
</script>
<script type="text/javascript" src="menudata.js"></script>
<script type="text/javascript" src="menu.js"></script>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
$(function() {
  initMenu('',true,false,'search.php','搜索');
  $(document).ready(function() { init_search(); });
});
/* @license-end */</script>
<div id="main-nav"></div>
</div><!-- top -->
<div id="side-nav" class="ui-resizable side-nav-resizable">
  <div id="nav-tree">
    <div id="nav-tree-contents">
      <div id="nav-sync" class="sync"></div>
    </div>
  </div>
  <div id="splitbar" style="-moz-user-select:none;" 
       class="ui-resizable-handle">
  </div>
</div>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
$(document).ready(function(){initNavTree('classpcl_1_1_fast_bilateral_filter_o_m_p.html',''); initResizable(); });
/* @license-end */
</script>
<div id="doc-content">
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
     onmouseover="return searchBox.OnSearchSelectShow()"
     onmouseout="return searchBox.OnSearchSelectHide()"
     onkeydown="return searchBox.OnSearchSelectKey(event)">
</div>

<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0" 
        name="MSearchResults" id="MSearchResults">
</iframe>
</div>

<div class="header">
  <div class="summary">
<a href="#pub-types">Public 类型</a> &#124;
<a href="#pub-methods">Public 成员函数</a> &#124;
<a href="#pro-types">Protected 类型</a> &#124;
<a href="#pro-attribs">Protected 属性</a> &#124;
<a href="classpcl_1_1_fast_bilateral_filter_o_m_p-members.html">所有成员列表</a>  </div>
  <div class="headertitle">
<div class="title">pcl::FastBilateralFilterOMP&lt; PointT &gt; 模板类 参考</div>  </div>
</div><!--header-->
<div class="contents">

<p>Implementation of a fast bilateral filter for smoothing depth information in organized point clouds Based on the following paper:  
 <a href="classpcl_1_1_fast_bilateral_filter_o_m_p.html#details">更多...</a></p>

<p><code>#include &lt;<a class="el" href="fast__bilateral__omp_8h_source.html">fast_bilateral_omp.h</a>&gt;</code></p>
<div class="dynheader">
类 pcl::FastBilateralFilterOMP&lt; PointT &gt; 继承关系图:</div>
<div class="dyncontent">
 <div class="center">
  <img src="classpcl_1_1_fast_bilateral_filter_o_m_p.png" usemap="#pcl::FastBilateralFilterOMP_3C_20PointT_20_3E_map" alt=""/>
  <map id="pcl::FastBilateralFilterOMP_3C_20PointT_20_3E_map" name="pcl::FastBilateralFilterOMP_3C_20PointT_20_3E_map">
<area href="classpcl_1_1_fast_bilateral_filter.html" title="Implementation of a fast bilateral filter for smoothing depth information in organized point clouds B..." alt="pcl::FastBilateralFilter&lt; PointT &gt;" shape="rect" coords="0,112,222,136"/>
<area href="classpcl_1_1_filter.html" title="Filter represents the base filter class. All filters must inherit from this interface." alt="pcl::Filter&lt; PointT &gt;" shape="rect" coords="0,56,222,80"/>
<area href="classpcl_1_1_p_c_l_base.html" title="PCL base class. Implements methods that are used by most PCL algorithms." alt="pcl::PCLBase&lt; PointT &gt;" shape="rect" coords="0,0,222,24"/>
  </map>
</div></div>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public 类型</h2></td></tr>
<tr class="memitem:a657848ca6cee039fb9322e458a2be254"><td class="memItemLeft" align="right" valign="top"><a id="a657848ca6cee039fb9322e458a2be254"></a>
typedef boost::shared_ptr&lt; <a class="el" href="classpcl_1_1_fast_bilateral_filter_o_m_p.html">FastBilateralFilterOMP</a>&lt; <a class="el" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>Ptr</b></td></tr>
<tr class="separator:a657848ca6cee039fb9322e458a2be254"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8807fe8d523faa2360bb977f499d8b72"><td class="memItemLeft" align="right" valign="top"><a id="a8807fe8d523faa2360bb977f499d8b72"></a>
typedef boost::shared_ptr&lt; const <a class="el" href="classpcl_1_1_fast_bilateral_filter_o_m_p.html">FastBilateralFilterOMP</a>&lt; <a class="el" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>ConstPtr</b></td></tr>
<tr class="separator:a8807fe8d523faa2360bb977f499d8b72"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_types_classpcl_1_1_fast_bilateral_filter"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classpcl_1_1_fast_bilateral_filter')"><img src="closed.png" alt="-"/>&#160;Public 类型 继承自 <a class="el" href="classpcl_1_1_fast_bilateral_filter.html">pcl::FastBilateralFilter&lt; PointT &gt;</a></td></tr>
<tr class="memitem:a35245b93c63a7eec6b34cab2e6b4e23d inherit pub_types_classpcl_1_1_fast_bilateral_filter"><td class="memItemLeft" align="right" valign="top"><a id="a35245b93c63a7eec6b34cab2e6b4e23d"></a>
typedef boost::shared_ptr&lt; <a class="el" href="classpcl_1_1_fast_bilateral_filter.html">FastBilateralFilter</a>&lt; <a class="el" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>Ptr</b></td></tr>
<tr class="separator:a35245b93c63a7eec6b34cab2e6b4e23d inherit pub_types_classpcl_1_1_fast_bilateral_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4977d663345de747b404de19efb3ec7b inherit pub_types_classpcl_1_1_fast_bilateral_filter"><td class="memItemLeft" align="right" valign="top"><a id="a4977d663345de747b404de19efb3ec7b"></a>
typedef boost::shared_ptr&lt; const <a class="el" href="classpcl_1_1_fast_bilateral_filter.html">FastBilateralFilter</a>&lt; <a class="el" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>ConstPtr</b></td></tr>
<tr class="separator:a4977d663345de747b404de19efb3ec7b inherit pub_types_classpcl_1_1_fast_bilateral_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_types_classpcl_1_1_filter"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classpcl_1_1_filter')"><img src="closed.png" alt="-"/>&#160;Public 类型 继承自 <a class="el" href="classpcl_1_1_filter.html">pcl::Filter&lt; PointT &gt;</a></td></tr>
<tr class="memitem:a719a1ef5a8fc3b7f4a651a8bae51571b inherit pub_types_classpcl_1_1_filter"><td class="memItemLeft" align="right" valign="top"><a id="a719a1ef5a8fc3b7f4a651a8bae51571b"></a>
typedef boost::shared_ptr&lt; <a class="el" href="classpcl_1_1_filter.html">Filter</a>&lt; <a class="el" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>Ptr</b></td></tr>
<tr class="separator:a719a1ef5a8fc3b7f4a651a8bae51571b inherit pub_types_classpcl_1_1_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a01b992cf70e997979d7f653226a60ddd inherit pub_types_classpcl_1_1_filter"><td class="memItemLeft" align="right" valign="top"><a id="a01b992cf70e997979d7f653226a60ddd"></a>
typedef boost::shared_ptr&lt; const <a class="el" href="classpcl_1_1_filter.html">Filter</a>&lt; <a class="el" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a> &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>ConstPtr</b></td></tr>
<tr class="separator:a01b992cf70e997979d7f653226a60ddd inherit pub_types_classpcl_1_1_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4f1d68bbc5f1f6b852b48b95e4673cfb inherit pub_types_classpcl_1_1_filter"><td class="memItemLeft" align="right" valign="top"><a id="a4f1d68bbc5f1f6b852b48b95e4673cfb"></a>
typedef <a class="el" href="classpcl_1_1_point_cloud.html">pcl::PointCloud</a>&lt; <a class="el" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>PointCloud</b></td></tr>
<tr class="separator:a4f1d68bbc5f1f6b852b48b95e4673cfb inherit pub_types_classpcl_1_1_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a335eb506b145ec1a09acc945b775246d inherit pub_types_classpcl_1_1_filter"><td class="memItemLeft" align="right" valign="top"><a id="a335eb506b145ec1a09acc945b775246d"></a>
typedef PointCloud::Ptr&#160;</td><td class="memItemRight" valign="bottom"><b>PointCloudPtr</b></td></tr>
<tr class="separator:a335eb506b145ec1a09acc945b775246d inherit pub_types_classpcl_1_1_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5796101c9166820fac3a5ca961bde255 inherit pub_types_classpcl_1_1_filter"><td class="memItemLeft" align="right" valign="top"><a id="a5796101c9166820fac3a5ca961bde255"></a>
typedef PointCloud::ConstPtr&#160;</td><td class="memItemRight" valign="bottom"><b>PointCloudConstPtr</b></td></tr>
<tr class="separator:a5796101c9166820fac3a5ca961bde255 inherit pub_types_classpcl_1_1_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_types_classpcl_1_1_p_c_l_base"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classpcl_1_1_p_c_l_base')"><img src="closed.png" alt="-"/>&#160;Public 类型 继承自 <a class="el" href="classpcl_1_1_p_c_l_base.html">pcl::PCLBase&lt; PointT &gt;</a></td></tr>
<tr class="memitem:ae2f6f6863a73337858b7a7a054eaae4f inherit pub_types_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="ae2f6f6863a73337858b7a7a054eaae4f"></a>
typedef <a class="el" href="classpcl_1_1_point_cloud.html">pcl::PointCloud</a>&lt; <a class="el" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>PointCloud</b></td></tr>
<tr class="separator:ae2f6f6863a73337858b7a7a054eaae4f inherit pub_types_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab84dd662cda89edb882fe5307b2136ea inherit pub_types_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="ab84dd662cda89edb882fe5307b2136ea"></a>
typedef PointCloud::Ptr&#160;</td><td class="memItemRight" valign="bottom"><b>PointCloudPtr</b></td></tr>
<tr class="separator:ab84dd662cda89edb882fe5307b2136ea inherit pub_types_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac8326513fad0680b6993e2f1a79a6af4 inherit pub_types_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="ac8326513fad0680b6993e2f1a79a6af4"></a>
typedef PointCloud::ConstPtr&#160;</td><td class="memItemRight" valign="bottom"><b>PointCloudConstPtr</b></td></tr>
<tr class="separator:ac8326513fad0680b6993e2f1a79a6af4 inherit pub_types_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae51eae0c7b3e0b7178f4894dff90660a inherit pub_types_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="ae51eae0c7b3e0b7178f4894dff90660a"></a>
typedef boost::shared_ptr&lt; <a class="el" href="structpcl_1_1_point_indices.html">PointIndices</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>PointIndicesPtr</b></td></tr>
<tr class="separator:ae51eae0c7b3e0b7178f4894dff90660a inherit pub_types_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a51771056fb4ab8c448a11157acbe2ee0 inherit pub_types_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="a51771056fb4ab8c448a11157acbe2ee0"></a>
typedef boost::shared_ptr&lt; <a class="el" href="structpcl_1_1_point_indices.html">PointIndices</a> const  &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>PointIndicesConstPtr</b></td></tr>
<tr class="separator:a51771056fb4ab8c448a11157acbe2ee0 inherit pub_types_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public 成员函数</h2></td></tr>
<tr class="memitem:a8fa91f12dd5d148e4f151e2489ef8f08"><td class="memItemLeft" align="right" valign="top"><a id="a8fa91f12dd5d148e4f151e2489ef8f08"></a>
&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_fast_bilateral_filter_o_m_p.html#a8fa91f12dd5d148e4f151e2489ef8f08">FastBilateralFilterOMP</a> (unsigned int nr_threads=0)</td></tr>
<tr class="memdesc:a8fa91f12dd5d148e4f151e2489ef8f08"><td class="mdescLeft">&#160;</td><td class="mdescRight">Empty constructor. <br /></td></tr>
<tr class="separator:a8fa91f12dd5d148e4f151e2489ef8f08"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5404c2f3e1a63260869f25e24ef7abfb"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_fast_bilateral_filter_o_m_p.html#a5404c2f3e1a63260869f25e24ef7abfb">setNumberOfThreads</a> (unsigned int nr_threads=0)</td></tr>
<tr class="memdesc:a5404c2f3e1a63260869f25e24ef7abfb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the scheduler and set the number of threads to use.  <a href="classpcl_1_1_fast_bilateral_filter_o_m_p.html#a5404c2f3e1a63260869f25e24ef7abfb">更多...</a><br /></td></tr>
<tr class="separator:a5404c2f3e1a63260869f25e24ef7abfb"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6da5953e7b84be65c2bac020e3e74bc8"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_fast_bilateral_filter_o_m_p.html#a6da5953e7b84be65c2bac020e3e74bc8">applyFilter</a> (<a class="el" href="classpcl_1_1_point_cloud.html">PointCloud</a> &amp;output)</td></tr>
<tr class="memdesc:a6da5953e7b84be65c2bac020e3e74bc8"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classpcl_1_1_filter.html" title="Filter represents the base filter class. All filters must inherit from this interface.">Filter</a> the input data and store the results into output.  <a href="classpcl_1_1_fast_bilateral_filter_o_m_p.html#a6da5953e7b84be65c2bac020e3e74bc8">更多...</a><br /></td></tr>
<tr class="separator:a6da5953e7b84be65c2bac020e3e74bc8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classpcl_1_1_fast_bilateral_filter"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classpcl_1_1_fast_bilateral_filter')"><img src="closed.png" alt="-"/>&#160;Public 成员函数 继承自 <a class="el" href="classpcl_1_1_fast_bilateral_filter.html">pcl::FastBilateralFilter&lt; PointT &gt;</a></td></tr>
<tr class="memitem:aac5f04a891620ef285bbb45f73af16b6 inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="memItemLeft" align="right" valign="top"><a id="aac5f04a891620ef285bbb45f73af16b6"></a>
&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_fast_bilateral_filter.html#aac5f04a891620ef285bbb45f73af16b6">FastBilateralFilter</a> ()</td></tr>
<tr class="memdesc:aac5f04a891620ef285bbb45f73af16b6 inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">Empty constructor. <br /></td></tr>
<tr class="separator:aac5f04a891620ef285bbb45f73af16b6 inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab372570329d83c3774bca088ee75a57a inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="memItemLeft" align="right" valign="top"><a id="ab372570329d83c3774bca088ee75a57a"></a>
virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_fast_bilateral_filter.html#ab372570329d83c3774bca088ee75a57a">~FastBilateralFilter</a> ()</td></tr>
<tr class="memdesc:ab372570329d83c3774bca088ee75a57a inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">Empty destructor <br /></td></tr>
<tr class="separator:ab372570329d83c3774bca088ee75a57a inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a62f17d57f5d02df4854af84612e36955 inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_fast_bilateral_filter.html#a62f17d57f5d02df4854af84612e36955">setSigmaS</a> (float sigma_s)</td></tr>
<tr class="memdesc:a62f17d57f5d02df4854af84612e36955 inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the standard deviation of the Gaussian used by the bilateral filter for the spatial neighborhood/window.  <a href="classpcl_1_1_fast_bilateral_filter.html#a62f17d57f5d02df4854af84612e36955">更多...</a><br /></td></tr>
<tr class="separator:a62f17d57f5d02df4854af84612e36955 inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad1e3d0eae7a417e52afd5b67d0f6a55f inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="memItemLeft" align="right" valign="top"><a id="ad1e3d0eae7a417e52afd5b67d0f6a55f"></a>
float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_fast_bilateral_filter.html#ad1e3d0eae7a417e52afd5b67d0f6a55f">getSigmaS</a> () const</td></tr>
<tr class="memdesc:ad1e3d0eae7a417e52afd5b67d0f6a55f inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the size of the Gaussian bilateral filter window as set by the user. <br /></td></tr>
<tr class="separator:ad1e3d0eae7a417e52afd5b67d0f6a55f inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ace9aba523421f9c13c79b2fe619c5a40 inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_fast_bilateral_filter.html#ace9aba523421f9c13c79b2fe619c5a40">setSigmaR</a> (float sigma_r)</td></tr>
<tr class="memdesc:ace9aba523421f9c13c79b2fe619c5a40 inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the standard deviation of the Gaussian used to control how much an adjacent pixel is downweighted because of the intensity difference (depth in our case).  <a href="classpcl_1_1_fast_bilateral_filter.html#ace9aba523421f9c13c79b2fe619c5a40">更多...</a><br /></td></tr>
<tr class="separator:ace9aba523421f9c13c79b2fe619c5a40 inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab19a0163b468f86727db5bda738a4936 inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="memItemLeft" align="right" valign="top"><a id="ab19a0163b468f86727db5bda738a4936"></a>
float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_fast_bilateral_filter.html#ab19a0163b468f86727db5bda738a4936">getSigmaR</a> () const</td></tr>
<tr class="memdesc:ab19a0163b468f86727db5bda738a4936 inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the standard deviation of the Gaussian for the intensity difference <br /></td></tr>
<tr class="separator:ab19a0163b468f86727db5bda738a4936 inherit pub_methods_classpcl_1_1_fast_bilateral_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classpcl_1_1_filter"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classpcl_1_1_filter')"><img src="closed.png" alt="-"/>&#160;Public 成员函数 继承自 <a class="el" href="classpcl_1_1_filter.html">pcl::Filter&lt; PointT &gt;</a></td></tr>
<tr class="memitem:af31e766a9092a766962f42005c1b84a4 inherit pub_methods_classpcl_1_1_filter"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter.html#af31e766a9092a766962f42005c1b84a4">Filter</a> (bool extract_removed_indices=false)</td></tr>
<tr class="memdesc:af31e766a9092a766962f42005c1b84a4 inherit pub_methods_classpcl_1_1_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">Empty constructor.  <a href="classpcl_1_1_filter.html#af31e766a9092a766962f42005c1b84a4">更多...</a><br /></td></tr>
<tr class="separator:af31e766a9092a766962f42005c1b84a4 inherit pub_methods_classpcl_1_1_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a11163e4d01519df900e6144f705f6980 inherit pub_methods_classpcl_1_1_filter"><td class="memItemLeft" align="right" valign="top"><a id="a11163e4d01519df900e6144f705f6980"></a>
virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter.html#a11163e4d01519df900e6144f705f6980">~Filter</a> ()</td></tr>
<tr class="memdesc:a11163e4d01519df900e6144f705f6980 inherit pub_methods_classpcl_1_1_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">Empty destructor <br /></td></tr>
<tr class="separator:a11163e4d01519df900e6144f705f6980 inherit pub_methods_classpcl_1_1_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae451ce8a0981e8589812d4f3b135a335 inherit pub_methods_classpcl_1_1_filter"><td class="memItemLeft" align="right" valign="top"><a id="ae451ce8a0981e8589812d4f3b135a335"></a>
IndicesConstPtr const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter.html#ae451ce8a0981e8589812d4f3b135a335">getRemovedIndices</a> ()</td></tr>
<tr class="memdesc:ae451ce8a0981e8589812d4f3b135a335 inherit pub_methods_classpcl_1_1_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the point indices being removed <br /></td></tr>
<tr class="separator:ae451ce8a0981e8589812d4f3b135a335 inherit pub_methods_classpcl_1_1_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:add67775d121c2dd536d3306ef447431e inherit pub_methods_classpcl_1_1_filter"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter.html#add67775d121c2dd536d3306ef447431e">getRemovedIndices</a> (<a class="el" href="structpcl_1_1_point_indices.html">PointIndices</a> &amp;pi)</td></tr>
<tr class="memdesc:add67775d121c2dd536d3306ef447431e inherit pub_methods_classpcl_1_1_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the point indices being removed  <a href="classpcl_1_1_filter.html#add67775d121c2dd536d3306ef447431e">更多...</a><br /></td></tr>
<tr class="separator:add67775d121c2dd536d3306ef447431e inherit pub_methods_classpcl_1_1_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a17115897ca28f6b12950d023958aa641 inherit pub_methods_classpcl_1_1_filter"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter.html#a17115897ca28f6b12950d023958aa641">filter</a> (<a class="el" href="classpcl_1_1_point_cloud.html">PointCloud</a> &amp;output)</td></tr>
<tr class="memdesc:a17115897ca28f6b12950d023958aa641 inherit pub_methods_classpcl_1_1_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">Calls the filtering method and returns the filtered dataset in output.  <a href="classpcl_1_1_filter.html#a17115897ca28f6b12950d023958aa641">更多...</a><br /></td></tr>
<tr class="separator:a17115897ca28f6b12950d023958aa641 inherit pub_methods_classpcl_1_1_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classpcl_1_1_p_c_l_base"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classpcl_1_1_p_c_l_base')"><img src="closed.png" alt="-"/>&#160;Public 成员函数 继承自 <a class="el" href="classpcl_1_1_p_c_l_base.html">pcl::PCLBase&lt; PointT &gt;</a></td></tr>
<tr class="memitem:af4fbc5eb005057f8a0fc6d60bde595df inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="af4fbc5eb005057f8a0fc6d60bde595df"></a>
&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#af4fbc5eb005057f8a0fc6d60bde595df">PCLBase</a> ()</td></tr>
<tr class="memdesc:af4fbc5eb005057f8a0fc6d60bde595df inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">Empty constructor. <br /></td></tr>
<tr class="separator:af4fbc5eb005057f8a0fc6d60bde595df inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7a6dd7a91275d7737cf1b18005b47244 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="a7a6dd7a91275d7737cf1b18005b47244"></a>
&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#a7a6dd7a91275d7737cf1b18005b47244">PCLBase</a> (const <a class="el" href="classpcl_1_1_p_c_l_base.html">PCLBase</a> &amp;base)</td></tr>
<tr class="memdesc:a7a6dd7a91275d7737cf1b18005b47244 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">Copy constructor. <br /></td></tr>
<tr class="separator:a7a6dd7a91275d7737cf1b18005b47244 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad5d6846e98e59c37dcc3dc9958d53966 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="ad5d6846e98e59c37dcc3dc9958d53966"></a>
virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#ad5d6846e98e59c37dcc3dc9958d53966">~PCLBase</a> ()</td></tr>
<tr class="memdesc:ad5d6846e98e59c37dcc3dc9958d53966 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor. <br /></td></tr>
<tr class="separator:ad5d6846e98e59c37dcc3dc9958d53966 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1952d7101f3942bac3b69ed55c1ca7ea inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#a1952d7101f3942bac3b69ed55c1ca7ea">setInputCloud</a> (const PointCloudConstPtr &amp;cloud)</td></tr>
<tr class="memdesc:a1952d7101f3942bac3b69ed55c1ca7ea inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">Provide a pointer to the input dataset  <a href="classpcl_1_1_p_c_l_base.html#a1952d7101f3942bac3b69ed55c1ca7ea">更多...</a><br /></td></tr>
<tr class="separator:a1952d7101f3942bac3b69ed55c1ca7ea inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8cd745c4f7a792212f4fc3720b9d46ea inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="a8cd745c4f7a792212f4fc3720b9d46ea"></a>
PointCloudConstPtr const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#a8cd745c4f7a792212f4fc3720b9d46ea">getInputCloud</a> () const</td></tr>
<tr class="memdesc:a8cd745c4f7a792212f4fc3720b9d46ea inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get a pointer to the input point cloud dataset. <br /></td></tr>
<tr class="separator:a8cd745c4f7a792212f4fc3720b9d46ea inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab219359de6eb34c9d51e2e976dd1a0d1 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#ab219359de6eb34c9d51e2e976dd1a0d1">setIndices</a> (const IndicesPtr &amp;indices)</td></tr>
<tr class="memdesc:ab219359de6eb34c9d51e2e976dd1a0d1 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">Provide a pointer to the vector of indices that represents the input data.  <a href="classpcl_1_1_p_c_l_base.html#ab219359de6eb34c9d51e2e976dd1a0d1">更多...</a><br /></td></tr>
<tr class="separator:ab219359de6eb34c9d51e2e976dd1a0d1 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a436c68c74b31e4dd00000adfbb11ca7c inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#a436c68c74b31e4dd00000adfbb11ca7c">setIndices</a> (const IndicesConstPtr &amp;indices)</td></tr>
<tr class="memdesc:a436c68c74b31e4dd00000adfbb11ca7c inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">Provide a pointer to the vector of indices that represents the input data.  <a href="classpcl_1_1_p_c_l_base.html#a436c68c74b31e4dd00000adfbb11ca7c">更多...</a><br /></td></tr>
<tr class="separator:a436c68c74b31e4dd00000adfbb11ca7c inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af9cc90d8364ce968566f75800d3773ca inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#af9cc90d8364ce968566f75800d3773ca">setIndices</a> (const PointIndicesConstPtr &amp;indices)</td></tr>
<tr class="memdesc:af9cc90d8364ce968566f75800d3773ca inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">Provide a pointer to the vector of indices that represents the input data.  <a href="classpcl_1_1_p_c_l_base.html#af9cc90d8364ce968566f75800d3773ca">更多...</a><br /></td></tr>
<tr class="separator:af9cc90d8364ce968566f75800d3773ca inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a930c7a6375fdf65ff8cfdb4eb4a6d996 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#a930c7a6375fdf65ff8cfdb4eb4a6d996">setIndices</a> (size_t row_start, size_t col_start, size_t nb_rows, size_t nb_cols)</td></tr>
<tr class="memdesc:a930c7a6375fdf65ff8cfdb4eb4a6d996 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the indices for the points laying within an interest region of the point cloud.  <a href="classpcl_1_1_p_c_l_base.html#a930c7a6375fdf65ff8cfdb4eb4a6d996">更多...</a><br /></td></tr>
<tr class="separator:a930c7a6375fdf65ff8cfdb4eb4a6d996 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a058753dd4de73d3d0062fe2e452fba3c inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="a058753dd4de73d3d0062fe2e452fba3c"></a>
IndicesPtr const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#a058753dd4de73d3d0062fe2e452fba3c">getIndices</a> ()</td></tr>
<tr class="memdesc:a058753dd4de73d3d0062fe2e452fba3c inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get a pointer to the vector of indices used. <br /></td></tr>
<tr class="separator:a058753dd4de73d3d0062fe2e452fba3c inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:acae187b37230758959572ceb1e6e2045 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="acae187b37230758959572ceb1e6e2045"></a>
IndicesConstPtr const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#acae187b37230758959572ceb1e6e2045">getIndices</a> () const</td></tr>
<tr class="memdesc:acae187b37230758959572ceb1e6e2045 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get a pointer to the vector of indices used. <br /></td></tr>
<tr class="separator:acae187b37230758959572ceb1e6e2045 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af7335fedb0af0930b9d1dedcb54ba201 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#af7335fedb0af0930b9d1dedcb54ba201">operator[]</a> (size_t pos) const</td></tr>
<tr class="memdesc:af7335fedb0af0930b9d1dedcb54ba201 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">Override <a class="el" href="classpcl_1_1_point_cloud.html" title="PointCloud represents the base class in PCL for storing collections of 3D points.">PointCloud</a> operator[] to shorten code  <a href="classpcl_1_1_p_c_l_base.html#af7335fedb0af0930b9d1dedcb54ba201">更多...</a><br /></td></tr>
<tr class="separator:af7335fedb0af0930b9d1dedcb54ba201 inherit pub_methods_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-types"></a>
Protected 类型</h2></td></tr>
<tr class="memitem:afe6d6eb34798105e25abc10c1fa30885"><td class="memItemLeft" align="right" valign="top"><a id="afe6d6eb34798105e25abc10c1fa30885"></a>
typedef <a class="el" href="classpcl_1_1_fast_bilateral_filter.html">FastBilateralFilter</a>&lt; <a class="el" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a> &gt;::<a class="el" href="classpcl_1_1_fast_bilateral_filter_1_1_array3_d.html">Array3D</a>&#160;</td><td class="memItemRight" valign="bottom"><b>Array3D</b></td></tr>
<tr class="separator:afe6d6eb34798105e25abc10c1fa30885"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af21b464d90a1fc476c4f2e98cc56410f"><td class="memItemLeft" align="right" valign="top"><a id="af21b464d90a1fc476c4f2e98cc56410f"></a>
typedef <a class="el" href="classpcl_1_1_filter.html">Filter</a>&lt; <a class="el" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a> &gt;::<a class="el" href="classpcl_1_1_point_cloud.html">PointCloud</a>&#160;</td><td class="memItemRight" valign="bottom"><b>PointCloud</b></td></tr>
<tr class="separator:af21b464d90a1fc476c4f2e98cc56410f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pro_types_classpcl_1_1_fast_bilateral_filter"><td colspan="2" onclick="javascript:toggleInherit('pro_types_classpcl_1_1_fast_bilateral_filter')"><img src="closed.png" alt="-"/>&#160;Protected 类型 继承自 <a class="el" href="classpcl_1_1_fast_bilateral_filter.html">pcl::FastBilateralFilter&lt; PointT &gt;</a></td></tr>
<tr class="memitem:a403631d8d0e3169f5df35573cdaf1036 inherit pro_types_classpcl_1_1_fast_bilateral_filter"><td class="memItemLeft" align="right" valign="top"><a id="a403631d8d0e3169f5df35573cdaf1036"></a>
typedef <a class="el" href="classpcl_1_1_filter.html">Filter</a>&lt; <a class="el" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a> &gt;::<a class="el" href="classpcl_1_1_point_cloud.html">PointCloud</a>&#160;</td><td class="memItemRight" valign="bottom"><b>PointCloud</b></td></tr>
<tr class="separator:a403631d8d0e3169f5df35573cdaf1036 inherit pro_types_classpcl_1_1_fast_bilateral_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-attribs"></a>
Protected 属性</h2></td></tr>
<tr class="memitem:a065c56d5f0048284ad18ec50bf3a8cbd"><td class="memItemLeft" align="right" valign="top"><a id="a065c56d5f0048284ad18ec50bf3a8cbd"></a>
unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_fast_bilateral_filter_o_m_p.html#a065c56d5f0048284ad18ec50bf3a8cbd">threads_</a></td></tr>
<tr class="memdesc:a065c56d5f0048284ad18ec50bf3a8cbd"><td class="mdescLeft">&#160;</td><td class="mdescRight">The number of threads the scheduler should use. <br /></td></tr>
<tr class="separator:a065c56d5f0048284ad18ec50bf3a8cbd"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pro_attribs_classpcl_1_1_fast_bilateral_filter"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classpcl_1_1_fast_bilateral_filter')"><img src="closed.png" alt="-"/>&#160;Protected 属性 继承自 <a class="el" href="classpcl_1_1_fast_bilateral_filter.html">pcl::FastBilateralFilter&lt; PointT &gt;</a></td></tr>
<tr class="memitem:ac9bcd34cc449817f3eeba91419308a6e inherit pro_attribs_classpcl_1_1_fast_bilateral_filter"><td class="memItemLeft" align="right" valign="top"><a id="ac9bcd34cc449817f3eeba91419308a6e"></a>
float&#160;</td><td class="memItemRight" valign="bottom"><b>sigma_s_</b></td></tr>
<tr class="separator:ac9bcd34cc449817f3eeba91419308a6e inherit pro_attribs_classpcl_1_1_fast_bilateral_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0eb1aa274bed6579368c8135926a636c inherit pro_attribs_classpcl_1_1_fast_bilateral_filter"><td class="memItemLeft" align="right" valign="top"><a id="a0eb1aa274bed6579368c8135926a636c"></a>
float&#160;</td><td class="memItemRight" valign="bottom"><b>sigma_r_</b></td></tr>
<tr class="separator:a0eb1aa274bed6579368c8135926a636c inherit pro_attribs_classpcl_1_1_fast_bilateral_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:afd716f63496d64c896a09b11489adb7b inherit pro_attribs_classpcl_1_1_fast_bilateral_filter"><td class="memItemLeft" align="right" valign="top"><a id="afd716f63496d64c896a09b11489adb7b"></a>
bool&#160;</td><td class="memItemRight" valign="bottom"><b>early_division_</b></td></tr>
<tr class="separator:afd716f63496d64c896a09b11489adb7b inherit pro_attribs_classpcl_1_1_fast_bilateral_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pro_attribs_classpcl_1_1_filter"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classpcl_1_1_filter')"><img src="closed.png" alt="-"/>&#160;Protected 属性 继承自 <a class="el" href="classpcl_1_1_filter.html">pcl::Filter&lt; PointT &gt;</a></td></tr>
<tr class="memitem:ae83ccb695ed263cfc64c224210a31936 inherit pro_attribs_classpcl_1_1_filter"><td class="memItemLeft" align="right" valign="top"><a id="ae83ccb695ed263cfc64c224210a31936"></a>
IndicesPtr&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter.html#ae83ccb695ed263cfc64c224210a31936">removed_indices_</a></td></tr>
<tr class="memdesc:ae83ccb695ed263cfc64c224210a31936 inherit pro_attribs_classpcl_1_1_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">Indices of the points that are removed <br /></td></tr>
<tr class="separator:ae83ccb695ed263cfc64c224210a31936 inherit pro_attribs_classpcl_1_1_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad700c7ab56dc82ad8811b87e9f793751 inherit pro_attribs_classpcl_1_1_filter"><td class="memItemLeft" align="right" valign="top"><a id="ad700c7ab56dc82ad8811b87e9f793751"></a>
std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter.html#ad700c7ab56dc82ad8811b87e9f793751">filter_name_</a></td></tr>
<tr class="memdesc:ad700c7ab56dc82ad8811b87e9f793751 inherit pro_attribs_classpcl_1_1_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">The filter name. <br /></td></tr>
<tr class="separator:ad700c7ab56dc82ad8811b87e9f793751 inherit pro_attribs_classpcl_1_1_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a77b899631add791703f5d615f085bede inherit pro_attribs_classpcl_1_1_filter"><td class="memItemLeft" align="right" valign="top"><a id="a77b899631add791703f5d615f085bede"></a>
bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter.html#a77b899631add791703f5d615f085bede">extract_removed_indices_</a></td></tr>
<tr class="memdesc:a77b899631add791703f5d615f085bede inherit pro_attribs_classpcl_1_1_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set to true if we want to return the indices of the removed points. <br /></td></tr>
<tr class="separator:a77b899631add791703f5d615f085bede inherit pro_attribs_classpcl_1_1_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pro_attribs_classpcl_1_1_p_c_l_base"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classpcl_1_1_p_c_l_base')"><img src="closed.png" alt="-"/>&#160;Protected 属性 继承自 <a class="el" href="classpcl_1_1_p_c_l_base.html">pcl::PCLBase&lt; PointT &gt;</a></td></tr>
<tr class="memitem:a09c70d8e06e3fb4f07903fe6f8d67869 inherit pro_attribs_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="a09c70d8e06e3fb4f07903fe6f8d67869"></a>
PointCloudConstPtr&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#a09c70d8e06e3fb4f07903fe6f8d67869">input_</a></td></tr>
<tr class="memdesc:a09c70d8e06e3fb4f07903fe6f8d67869 inherit pro_attribs_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">The input point cloud dataset. <br /></td></tr>
<tr class="separator:a09c70d8e06e3fb4f07903fe6f8d67869 inherit pro_attribs_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aaee847c8a517ebf365bad2cb182a6626 inherit pro_attribs_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="aaee847c8a517ebf365bad2cb182a6626"></a>
IndicesPtr&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#aaee847c8a517ebf365bad2cb182a6626">indices_</a></td></tr>
<tr class="memdesc:aaee847c8a517ebf365bad2cb182a6626 inherit pro_attribs_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">A pointer to the vector of point indices to use. <br /></td></tr>
<tr class="separator:aaee847c8a517ebf365bad2cb182a6626 inherit pro_attribs_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ada1eadb824d34ca9206a86343d9760bb inherit pro_attribs_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="ada1eadb824d34ca9206a86343d9760bb"></a>
bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#ada1eadb824d34ca9206a86343d9760bb">use_indices_</a></td></tr>
<tr class="memdesc:ada1eadb824d34ca9206a86343d9760bb inherit pro_attribs_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set to true if point indices are used. <br /></td></tr>
<tr class="separator:ada1eadb824d34ca9206a86343d9760bb inherit pro_attribs_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:adadb0299f144528020ed558af6879662 inherit pro_attribs_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="adadb0299f144528020ed558af6879662"></a>
bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#adadb0299f144528020ed558af6879662">fake_indices_</a></td></tr>
<tr class="memdesc:adadb0299f144528020ed558af6879662 inherit pro_attribs_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">If no set of indices are given, we construct a set of fake indices that mimic the input <a class="el" href="classpcl_1_1_point_cloud.html" title="PointCloud represents the base class in PCL for storing collections of 3D points.">PointCloud</a>. <br /></td></tr>
<tr class="separator:adadb0299f144528020ed558af6879662 inherit pro_attribs_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
额外继承的成员函数</h2></td></tr>
<tr class="inherit_header pro_methods_classpcl_1_1_filter"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classpcl_1_1_filter')"><img src="closed.png" alt="-"/>&#160;Protected 成员函数 继承自 <a class="el" href="classpcl_1_1_filter.html">pcl::Filter&lt; PointT &gt;</a></td></tr>
<tr class="memitem:a71040236d2c11da75b715d6d6bf5ba9d inherit pro_methods_classpcl_1_1_filter"><td class="memItemLeft" align="right" valign="top"><a id="a71040236d2c11da75b715d6d6bf5ba9d"></a>
const std::string &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_filter.html#a71040236d2c11da75b715d6d6bf5ba9d">getClassName</a> () const</td></tr>
<tr class="memdesc:a71040236d2c11da75b715d6d6bf5ba9d inherit pro_methods_classpcl_1_1_filter"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get a string representation of the name of this class. <br /></td></tr>
<tr class="separator:a71040236d2c11da75b715d6d6bf5ba9d inherit pro_methods_classpcl_1_1_filter"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pro_methods_classpcl_1_1_p_c_l_base"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classpcl_1_1_p_c_l_base')"><img src="closed.png" alt="-"/>&#160;Protected 成员函数 继承自 <a class="el" href="classpcl_1_1_p_c_l_base.html">pcl::PCLBase&lt; PointT &gt;</a></td></tr>
<tr class="memitem:acceb20854934f4cf77e266eb5a44d4f0 inherit pro_methods_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#acceb20854934f4cf77e266eb5a44d4f0">initCompute</a> ()</td></tr>
<tr class="memdesc:acceb20854934f4cf77e266eb5a44d4f0 inherit pro_methods_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">This method should get called before starting the actual computation.  <a href="classpcl_1_1_p_c_l_base.html#acceb20854934f4cf77e266eb5a44d4f0">更多...</a><br /></td></tr>
<tr class="separator:acceb20854934f4cf77e266eb5a44d4f0 inherit pro_methods_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:afc426c4eebb94b7734d4fa556bff1420 inherit pro_methods_classpcl_1_1_p_c_l_base"><td class="memItemLeft" align="right" valign="top"><a id="afc426c4eebb94b7734d4fa556bff1420"></a>
bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classpcl_1_1_p_c_l_base.html#afc426c4eebb94b7734d4fa556bff1420">deinitCompute</a> ()</td></tr>
<tr class="memdesc:afc426c4eebb94b7734d4fa556bff1420 inherit pro_methods_classpcl_1_1_p_c_l_base"><td class="mdescLeft">&#160;</td><td class="mdescRight">This method should get called after finishing the actual computation. <br /></td></tr>
<tr class="separator:afc426c4eebb94b7734d4fa556bff1420 inherit pro_methods_classpcl_1_1_p_c_l_base"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">详细描述</h2>
<div class="textblock"><h3>template&lt;typename PointT&gt;<br />
class pcl::FastBilateralFilterOMP&lt; PointT &gt;</h3>

<p>Implementation of a fast bilateral filter for smoothing depth information in organized point clouds Based on the following paper: </p>
<ul>
<li>Sylvain Paris and Frdo Durand "A Fast Approximation of the Bilateral Filter using a Signal Processing Approach" European Conference on Computer Vision (ECCV'06)</li>
</ul>
<p>More details on the webpage: <a href="http://people.csail.mit.edu/sparis/bf/">http://people.csail.mit.edu/sparis/bf/</a> </p>
</div><h2 class="groupheader">成员函数说明</h2>
<a id="a6da5953e7b84be65c2bac020e3e74bc8"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a6da5953e7b84be65c2bac020e3e74bc8">&#9670;&nbsp;</a></span>applyFilter()</h2>

<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename PointT &gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">void <a class="el" href="classpcl_1_1_fast_bilateral_filter_o_m_p.html">pcl::FastBilateralFilterOMP</a>&lt; <a class="el" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a> &gt;::applyFilter </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classpcl_1_1_point_cloud.html">PointCloud</a> &amp;&#160;</td>
          <td class="paramname"><em>output</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">virtual</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

<p><a class="el" href="classpcl_1_1_filter.html" title="Filter represents the base filter class. All filters must inherit from this interface.">Filter</a> the input data and store the results into output. </p>
<dl class="params"><dt>参数</dt><dd>
  <table class="params">
    <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>the resultant point cloud </td></tr>
  </table>
  </dd>
</dl>

<p>重载 <a class="el" href="classpcl_1_1_fast_bilateral_filter.html#adae3848512ae44c4480b91fb8c7931bd">pcl::FastBilateralFilter&lt; PointT &gt;</a> .</p>
<div class="fragment"><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;{</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;  <span class="keywordflow">if</span> (!<a class="code" href="classpcl_1_1_p_c_l_base.html#a09c70d8e06e3fb4f07903fe6f8d67869">input_</a>-&gt;isOrganized ())</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;  {</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    PCL_ERROR (<span class="stringliteral">&quot;[pcl::FastBilateralFilterOMP] Input cloud needs to be organized.\n&quot;</span>);</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;  }</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160; </div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;  <a class="code" href="group__common.html#gaa65b1c8d782e7b776ae682679d2d948f">copyPointCloud</a> (*<a class="code" href="classpcl_1_1_p_c_l_base.html#a09c70d8e06e3fb4f07903fe6f8d67869">input_</a>, output);</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;  <span class="keywordtype">float</span> base_max = -std::numeric_limits&lt;float&gt;::max (),</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        base_min = std::numeric_limits&lt;float&gt;::max ();</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;  <span class="keywordtype">bool</span> found_finite = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> x = 0; x &lt; output.<a class="code" href="classpcl_1_1_point_cloud.html#a2185a6453f8ad905d7bdf7b45754a160">width</a>; ++x)</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;  {</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> y = 0; y &lt; output.<a class="code" href="classpcl_1_1_point_cloud.html#a4f34b45220c57f96607513ffad0d9582">height</a>; ++y)</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    {</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;      <span class="keywordflow">if</span> (pcl_isfinite (output (x, y).z))</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;      {</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;        <span class="keywordflow">if</span> (base_max &lt; output (x, y).z)</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;          base_max = output (x, y).z;</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        <span class="keywordflow">if</span> (base_min &gt; output (x, y).z)</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;          base_min = output (x, y).z;</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        found_finite = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;      }</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    }</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;  }</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;  <span class="keywordflow">if</span> (!found_finite)</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;  {</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    PCL_WARN (<span class="stringliteral">&quot;[pcl::FastBilateralFilterOMP] Given an empty cloud. Doing nothing.\n&quot;</span>);</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;  }</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="preprocessor">#ifdef _OPENMP</span></div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="preprocessor">#pragma omp parallel for num_threads (threads_)</span></div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> <span class="keywordtype">int</span> i = 0; i &lt; static_cast&lt;long int&gt; (output.size ()); ++i)</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="keywordflow">if</span> (!pcl_isfinite (output.<a class="code" href="classpcl_1_1_point_cloud.html#a1155fe4ba5cdc7e83cb72159a4ea02dc">at</a>(i).z))</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;      output.<a class="code" href="classpcl_1_1_point_cloud.html#a1155fe4ba5cdc7e83cb72159a4ea02dc">at</a>(i).z = base_max;</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160; </div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;  <span class="keyword">const</span> <span class="keywordtype">float</span> base_delta = base_max - base_min;</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160; </div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;  <span class="keyword">const</span> <span class="keywordtype">size_t</span> padding_xy = 2;</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;  <span class="keyword">const</span> <span class="keywordtype">size_t</span> padding_z  = 2;</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160; </div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;  <span class="keyword">const</span> <span class="keywordtype">size_t</span> small_width  = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span> (<span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (<a class="code" href="classpcl_1_1_p_c_l_base.html#a09c70d8e06e3fb4f07903fe6f8d67869">input_</a>-&gt;width  - 1) / sigma_s_) + 1 + 2 * padding_xy;</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;  <span class="keyword">const</span> <span class="keywordtype">size_t</span> small_height = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span> (<span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (<a class="code" href="classpcl_1_1_p_c_l_base.html#a09c70d8e06e3fb4f07903fe6f8d67869">input_</a>-&gt;height - 1) / sigma_s_) + 1 + 2 * padding_xy;</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;  <span class="keyword">const</span> <span class="keywordtype">size_t</span> small_depth  = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span> (base_delta / sigma_r_)   + 1 + 2 * padding_z;</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160; </div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;  Array3D data (small_width, small_height, small_depth);</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;<span class="preprocessor">#ifdef _OPENMP</span></div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;<span class="preprocessor">#pragma omp parallel for num_threads (threads_)</span></div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">long</span> <span class="keywordtype">int</span> i = 0; i &lt; static_cast&lt;long int&gt; (small_width * small_height); ++i)</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;  {</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    <span class="keywordtype">size_t</span> small_x = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span> (i % small_width);</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <span class="keywordtype">size_t</span> small_y = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span> (i / small_width);</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    <span class="keywordtype">size_t</span> start_x = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span>( </div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        std::max ((<span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (small_x) - <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (padding_xy) - 0.5f) * sigma_s_ + 1, 0.f));</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    <span class="keywordtype">size_t</span> end_x = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span>( </div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;      std::max ((<span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (small_x) - <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (padding_xy) + 0.5f) * sigma_s_ + 1, 0.f));</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    <span class="keywordtype">size_t</span> start_y = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span>( </div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;      std::max ((<span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (small_y) - <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (padding_xy) - 0.5f) * sigma_s_ + 1, 0.f));</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    <span class="keywordtype">size_t</span> end_y = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span>( </div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;      std::max ((<span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (small_y) - <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (padding_xy) + 0.5f) * sigma_s_ + 1, 0.f));</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> x = start_x; x &lt; end_x &amp;&amp; x &lt; <a class="code" href="classpcl_1_1_p_c_l_base.html#a09c70d8e06e3fb4f07903fe6f8d67869">input_</a>-&gt;width; ++x)</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    {</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> y = start_y; y &lt; end_y &amp;&amp; y &lt; <a class="code" href="classpcl_1_1_p_c_l_base.html#a09c70d8e06e3fb4f07903fe6f8d67869">input_</a>-&gt;height; ++y)</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;      {</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">float</span> z = output (x,y).z - base_min;</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">size_t</span> small_z = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span> (<span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (z) / sigma_r_ + 0.5f) + padding_z;</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;        Eigen::Vector2f&amp; d = data (small_x, small_y, small_z);</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;        d[0] += output (x,y).z;</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;        d[1] += 1.0f;</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;      }</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    }</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;  }</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160; </div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;  std::vector&lt;long int&gt; offset (3);</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;  offset[0] = &amp;(data (1,0,0)) - &amp;(data (0,0,0));</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;  offset[1] = &amp;(data (0,1,0)) - &amp;(data (0,0,0));</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;  offset[2] = &amp;(data (0,0,1)) - &amp;(data (0,0,0));</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160; </div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;  Array3D buffer (small_width, small_height, small_depth);</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;  </div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> dim = 0; dim &lt; 3; ++dim)</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;  {</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> n_iter = 0; n_iter &lt; 2; ++n_iter)</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    {</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;      Array3D* current_buffer = (n_iter % 2 == 1 ? &amp;buffer : &amp;data);</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;      Array3D* current_data =(n_iter % 2 == 1 ? &amp;data : &amp;buffer);</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;<span class="preprocessor">#ifdef _OPENMP</span></div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;<span class="preprocessor">#pragma omp parallel for num_threads (threads_)</span></div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;      <span class="keywordflow">for</span>(<span class="keywordtype">long</span> <span class="keywordtype">int</span> i = 0; i &lt; static_cast&lt;long int&gt; ((small_width - 2)*(small_height - 2)); ++i)</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;      {</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;        <span class="keywordtype">size_t</span> x = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span> (i % (small_width - 2) + 1);</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;        <span class="keywordtype">size_t</span> y = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span> (i / (small_width - 2) + 1);</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">long</span> <span class="keywordtype">int</span> off = offset[dim];</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;        Eigen::Vector2f* d_ptr = &amp;(current_data-&gt;operator() (x,y,1));</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;        Eigen::Vector2f* b_ptr = &amp;(current_buffer-&gt;operator() (x,y,1));</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160; </div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> z = 1; z &lt; small_depth - 1; ++z, ++d_ptr, ++b_ptr)</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;          *d_ptr = (*(b_ptr - off) + *(b_ptr + off) + 2.0 * (*b_ptr)) / 4.0;</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;      }</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    }</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;  }</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;  <span class="comment">// Note: this works because there are an even number of iterations. </span></div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;  <span class="comment">// If there were an odd number, we would need to end with a:</span></div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;  <span class="comment">// std::swap (data, buffer);</span></div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160; </div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;  <span class="keywordflow">if</span> (early_division_)</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;  {</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    <span class="keywordflow">for</span> (std::vector&lt;Eigen::Vector2f, Eigen::aligned_allocator&lt;Eigen::Vector2f&gt; &gt;::iterator d = data.begin (); d != data.end (); ++d)</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;      *d /= ((*d)[0] != 0) ? (*d)[1] : 1;</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160; </div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;<span class="preprocessor">#ifdef _OPENMP</span></div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;<span class="preprocessor">#pragma omp parallel for num_threads (threads_)</span></div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">long</span> <span class="keywordtype">int</span> i = 0; i &lt; static_cast&lt;long int&gt; (<a class="code" href="classpcl_1_1_p_c_l_base.html#a09c70d8e06e3fb4f07903fe6f8d67869">input_</a>-&gt;size ()); ++i)</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    {</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;      <span class="keywordtype">size_t</span> x = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span> (i % <a class="code" href="classpcl_1_1_p_c_l_base.html#a09c70d8e06e3fb4f07903fe6f8d67869">input_</a>-&gt;width);</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;      <span class="keywordtype">size_t</span> y = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span> (i / <a class="code" href="classpcl_1_1_p_c_l_base.html#a09c70d8e06e3fb4f07903fe6f8d67869">input_</a>-&gt;width);</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;      <span class="keyword">const</span> <span class="keywordtype">float</span> z = output (x,y).z - base_min;</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;      <span class="keyword">const</span> Eigen::Vector2f D = data.trilinear_interpolation (<span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (x) / sigma_s_ + padding_xy,</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;                                                              <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (y) / sigma_s_ + padding_xy,</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;                                                              z / sigma_r_ + padding_z);</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;      output(x,y).z = D[0];</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    }</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;  }</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;  {</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;<span class="preprocessor">#ifdef _OPENMP</span></div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;<span class="preprocessor">#pragma omp parallel for num_threads (threads_)</span></div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">long</span> i = 0; i &lt; static_cast&lt;long int&gt; (<a class="code" href="classpcl_1_1_p_c_l_base.html#a09c70d8e06e3fb4f07903fe6f8d67869">input_</a>-&gt;size ()); ++i)</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    {</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;      <span class="keywordtype">size_t</span> x = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span> (i % <a class="code" href="classpcl_1_1_p_c_l_base.html#a09c70d8e06e3fb4f07903fe6f8d67869">input_</a>-&gt;width);</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;      <span class="keywordtype">size_t</span> y = <span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span> (i / <a class="code" href="classpcl_1_1_p_c_l_base.html#a09c70d8e06e3fb4f07903fe6f8d67869">input_</a>-&gt;width);</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;      <span class="keyword">const</span> <span class="keywordtype">float</span> z = output (x,y).z - base_min;</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;      <span class="keyword">const</span> Eigen::Vector2f D = data.trilinear_interpolation (<span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (x) / sigma_s_ + padding_xy,</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;                                                              <span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span><span class="keyword">&gt;</span> (y) / sigma_s_ + padding_xy,</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;                                                              z / sigma_r_ + padding_z);</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;      output (x,y).z = D[0] / D[1];</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    }</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;  }</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;}</div>
<div class="ttc" id="aclasspcl_1_1_p_c_l_base_html_a09c70d8e06e3fb4f07903fe6f8d67869"><div class="ttname"><a href="classpcl_1_1_p_c_l_base.html#a09c70d8e06e3fb4f07903fe6f8d67869">pcl::PCLBase::input_</a></div><div class="ttdeci">PointCloudConstPtr input_</div><div class="ttdoc">The input point cloud dataset.</div><div class="ttdef"><b>Definition:</b> pcl_base.h:150</div></div>
<div class="ttc" id="aclasspcl_1_1_point_cloud_html_a1155fe4ba5cdc7e83cb72159a4ea02dc"><div class="ttname"><a href="classpcl_1_1_point_cloud.html#a1155fe4ba5cdc7e83cb72159a4ea02dc">pcl::PointCloud::at</a></div><div class="ttdeci">const PointT &amp; at(int column, int row) const</div><div class="ttdoc">Obtain the point given by the (column, row) coordinates. Only works on organized datasets (those that...</div><div class="ttdef"><b>Definition:</b> point_cloud.h:283</div></div>
<div class="ttc" id="aclasspcl_1_1_point_cloud_html_a2185a6453f8ad905d7bdf7b45754a160"><div class="ttname"><a href="classpcl_1_1_point_cloud.html#a2185a6453f8ad905d7bdf7b45754a160">pcl::PointCloud::width</a></div><div class="ttdeci">uint32_t width</div><div class="ttdoc">The point cloud width (if organized as an image-structure).</div><div class="ttdef"><b>Definition:</b> point_cloud.h:413</div></div>
<div class="ttc" id="aclasspcl_1_1_point_cloud_html_a4f34b45220c57f96607513ffad0d9582"><div class="ttname"><a href="classpcl_1_1_point_cloud.html#a4f34b45220c57f96607513ffad0d9582">pcl::PointCloud::height</a></div><div class="ttdeci">uint32_t height</div><div class="ttdoc">The point cloud height (if organized as an image-structure).</div><div class="ttdef"><b>Definition:</b> point_cloud.h:415</div></div>
<div class="ttc" id="agroup__common_html_gaa65b1c8d782e7b776ae682679d2d948f"><div class="ttname"><a href="group__common.html#gaa65b1c8d782e7b776ae682679d2d948f">pcl::copyPointCloud</a></div><div class="ttdeci">PCL_EXPORTS void copyPointCloud(const pcl::PCLPointCloud2 &amp;cloud_in, const std::vector&lt; int &gt; &amp;indices, pcl::PCLPointCloud2 &amp;cloud_out)</div><div class="ttdoc">Extract the indices of a given point cloud as a new point cloud</div></div>
</div><!-- fragment -->
</div>
</div>
<a id="a5404c2f3e1a63260869f25e24ef7abfb"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a5404c2f3e1a63260869f25e24ef7abfb">&#9670;&nbsp;</a></span>setNumberOfThreads()</h2>

<div class="memitem">
<div class="memproto">
<div class="memtemplate">
template&lt;typename PointT &gt; </div>
<table class="mlabels">
  <tr>
  <td class="mlabels-left">
      <table class="memname">
        <tr>
          <td class="memname">void <a class="el" href="classpcl_1_1_fast_bilateral_filter_o_m_p.html">pcl::FastBilateralFilterOMP</a>&lt; <a class="el" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a> &gt;::setNumberOfThreads </td>
          <td>(</td>
          <td class="paramtype">unsigned int&#160;</td>
          <td class="paramname"><em>nr_threads</em> = <code>0</code></td><td>)</td>
          <td></td>
        </tr>
      </table>
  </td>
  <td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
  </tr>
</table>
</div><div class="memdoc">

<p>Initialize the scheduler and set the number of threads to use. </p>
<dl class="params"><dt>参数</dt><dd>
  <table class="params">
    <tr><td class="paramname">nr_threads</td><td>the number of hardware threads to use (0 sets the value back to automatic) </td></tr>
  </table>
  </dd>
</dl>
<div class="fragment"><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;{ <a class="code" href="classpcl_1_1_fast_bilateral_filter_o_m_p.html#a065c56d5f0048284ad18ec50bf3a8cbd">threads_</a> = nr_threads; }</div>
<div class="ttc" id="aclasspcl_1_1_fast_bilateral_filter_o_m_p_html_a065c56d5f0048284ad18ec50bf3a8cbd"><div class="ttname"><a href="classpcl_1_1_fast_bilateral_filter_o_m_p.html#a065c56d5f0048284ad18ec50bf3a8cbd">pcl::FastBilateralFilterOMP::threads_</a></div><div class="ttdeci">unsigned int threads_</div><div class="ttdoc">The number of threads the scheduler should use.</div><div class="ttdef"><b>Definition:</b> fast_bilateral_omp.h:94</div></div>
</div><!-- fragment -->
</div>
</div>
<hr/>该类的文档由以下文件生成:<ul>
<li>filters/include/pcl/filters/<a class="el" href="fast__bilateral__omp_8h_source.html">fast_bilateral_omp.h</a></li>
<li>filters/include/pcl/filters/impl/<a class="el" href="fast__bilateral__omp_8hpp_source.html">fast_bilateral_omp.hpp</a></li>
</ul>
</div><!-- contents -->
</div><!-- doc-content -->
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
  <ul>
    <li class="navelem"><b>pcl</b></li><li class="navelem"><a class="el" href="classpcl_1_1_fast_bilateral_filter_o_m_p.html">FastBilateralFilterOMP</a></li>
    <li class="footer">制作者 <a href="https://www.doxygen.org/index.html"><img class="footer" src="doxygen.svg" width="104" height="31" alt="doxygen"/></a> 1.9.1 </li>
  </ul>
</div>
</body>
</html>
